黑料福利网

KEY FACTS

• Track focus: Urban AI solutions for sustainability, data analytics for smart infrastructure, and AI in energy efficiency and environmental monitoring.

• Career focus: High demand for engineers in smart cities, intelligent buildings, urban mobility, energy systems, and sustainable infrastructure.

WHY SMART CITIES AND ENERGY SYSTEMS?

Smart buildings, connected infrastructure, intelligent mobility systems, and advanced energy networks are transforming the built environment into a place that can interact with people and respond to their needs. Powered by Artificial Intelligence and engineering systems, Smart Cities help create more sustainable, efficient, and resilient urban environments. They support smarter use of resources such as energy, lighting, heating and cooling systems, reduced environmental impact, improved mobility, and safe, healthy, and responsive spaces that enhance the quality of life of citizens.

WHAT'S IN IT FOR YOU?

As cities, buildings, mobility systems, and energy networks become increasingly connected and data-driven, there is a growing demand for engineers who can develop and manage these intelligent systems.

This track allows you to apply AI to real-world challenges in buildings, cities, mobility, and energy systems. You will work with technologies and applications such as smart buildings, city digital twins, autonomous mobility, intelligent energy systems, and 3D concrete printing. Through projects on topics such as building performance monitoring, anomaly detection, energy prediction, and smart EV charging, you will gain experience with technologies that are shaping the built environment of the future.

This track equips you with the knowledge and skills to apply AI across the four interconnected domains that shape smart cities: Buildings, Mobility, Citizens, and Energy Systems.
In this track, you will learn the fundamentals of:

• Building information modelling and intelligent buildings
• Building performance and energy systems simulation
• Robotics and building automation
• Digital design and manufacturing of built facilities
• Traffic simulations, innovative mobility services and traffic flows in the autonomous and electric vehicle era
• Data fusion and sensing in autonomous vehicles
• Advanced geographic data processing and geographic information systems
• Smart urban systems and environments
• Computer vision, image processing and advanced cognitive engineering
• Smart Human-Environment interaction and Human-System interaction
• Intelligent energy systems, smart grid applications and electricity markets
• Control and operation of future energy systems.

1) Each track within Artificial Intelligence & Engineering Systems includes the same core courses (30 ECTS) and Personal & Professional Development courses (5 ECTS)

2) You choose three electives (15 ECTS) to tailor the track to your interests. You select one course from each of the following themes:

1. Domain-Specific Knowledge and Learning & Intelligence
2. AI in Engineered Systems
3. Data Cultivation

3) You choose an additional 15 ECTS of free electives.

• Help create future-proof cities: Apply AI to challenges related to sustainability, energy systems, urban mobility, resource efficiency, and healthy built environments
• Work on innovative applications: Explore technologies such as smart buildings, city digital twins, autonomous mobility, intelligent energy systems, and AI in 3D concrete printing
• Learn through real-world projects: Gain experience with topics such as anomaly detection in smart buildings, energy pattern prediction, predictive maintenance, and reinforcement-learning-based EV charging control
• Combine expertise across multiple domains: Learn how buildings, mobility, citizens, and energy systems interact within smart urban environments
• Benefit from 黑料福利网鈥檚 interdisciplinary expertise: Study at the intersection of the Built Environment, Industrial Engineering and Innovation Sciences, and Electrical Engineering